Capacity Analysis of Multicast Network in Spectrum Sharing Systems

Ji, Jun; Chen, W.; Wan, Haibin; Liu, Y.

doi:10.1109/icc.2010.5501832

Cited by 15 publications

(7 citation statements)

References 12 publications

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“…As shown in Fig. 1 [19], a spectrum-sharing homogeneous network in a single cell system is considered, where an SAP utilises the licensed spectrum of a PU to send a common information to a set of N SUs. There are two special transmission schemes; in the first scheme the SAP can exploit the wireless multicast advantage so that all SUs in the system can hear the transmission.…”

Section: System and Channel Modelmentioning

confidence: 99%

Capacity analysis of multicast transmission schemes in a spectrum-sharing scenario

Wen

2012

IET Commun.

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In this study, the authors consider the asymptotic capacity of wireless multicast and unicast transmission schemes in a spectrum-sharing system. In these schemes, a secondary access point (SAP) utilises the licensed spectrum of an active primary user (PU) to send a common information to multiple secondary users simultaneously, as long as the interference power inflicted on the PU is less than a predefined threshold. At the SAP, interference channel-state information between the SAP and the PU is used to calculate the maximum allowable SAP transmit power to limit the interference. The authors derive the average capacity of these schemes based on extreme value theory. From the derived asymptotic capacities, the insights to the capacity behaviour can be drawn.

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Section: System and Channel Modelmentioning

confidence: 99%

Capacity analysis of multicast transmission schemes in a spectrum-sharing scenario

Wen

2012

IET Commun.

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“…Removing the assumptions, recent works are moving toward more realistic system models; allowing limited interference power at the PU receiver, Ji et al, [20] analyzed the capacity of multicast spectrum sharing networks. In their work, while the SU-SU link is assumed to be perfectly known, the results are obtained for the cases where the interference information is perfectly or imperfectly available at the SU transmitter.…”

Section: Introductionmentioning

confidence: 99%

On the Average Rate of HARQ-Based Quasi-Static Spectrum Sharing Networks

Makki

Eriksson

2012

IEEE Trans. Wireless Commun.

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Spectrum sharing networks are communication setups in which unlicensed secondary users are permitted to work within the spectrum resources of primary licensees. Considering quasi-static fading environments, this paper studies the effect of hybrid automatic repeat request (HARQ) feedback on the average rate of unlicensed spectrum sharing channels. The results are obtained for different scenarios; Under both peak and average secondary user transmission power constraints, the channel average rate is determined under primary user limited received interference power conditions when there is perfect information about the interference available at the secondary user transmitter. An approximate solution for power allocation between incremental redundancy (INR) HARQ-based data retransmissions is proposed which can be applied in single-user networks as well. Then, we investigate the effect of imperfect secondary-primary channel state information on the interferencelimited average rate of the secondary channel. Finally, we restudy all mentioned scenarios in the case where the data transmission is constrained to have limited outage probability. Substantial performance improvement is observed with even a single HARQbased retransmission in all simulations.

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“…Moreover, Pei et al [21] investigated the channel data transmission efficiency under primary user received signal-to-noiseand-interference (SINR) constraints. Allowing limited interference power at the PU receiver, Ji et al [22] analyzed the capacity of multicast spectrum sharing networks. In their work, while the SU-SU link is assumed to be perfectly known, the results are obtained for the cases where the interference information is perfectly or imperfectly available at the SU transmitter.…”

Section: Introductionmentioning

confidence: 99%

“…References [16,[20][21][22][23][24][25] are all based on the assumption that the fading channels are mutually independent. That is, the channel performance is investigated in the case where there is no correlation between the fading channels of different transmission end-points.…”

Section: Introductionmentioning

confidence: 99%

On the capacity of Rayleigh-fading correlated spectrum sharing networks

Makki

Eriksson

2011

J Wireless Com Network

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Recently, substantial attention has been paid to improve the spectral efficiency of communication setups using different spectrum sharing techniques. This paper aims to study the capacity of Rayleigh-fading spectrum sharing channels in the case where there is correlation between the fading channels. Assuming perfect channel state information, the channel capacity is obtained under both adaptive and nonadaptive unlicensed user power allocation capabilities and the licensed user outage probability and received interference power constraints. Theoretical and simulation results show that (1) there is considerable potential for data transmission of unlicensed users with limited degradation of the licensed users' data transmission efficiency, (2) while the effect of fading channels dependencies is ignorable at low correlation values, the channel capacity is significantly affected as the channels correlation increases, and (3) depending on the fading distributions, the unlicensed user channel capacity is not essentially a decreasing function of the licensed user transmission power in the licensed user outage-limited scenario.

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Capacity Analysis of Multicast Network in Spectrum Sharing Systems

Cited by 15 publications

References 12 publications

Capacity analysis of multicast transmission schemes in a spectrum-sharing scenario

Capacity analysis of multicast transmission schemes in a spectrum-sharing scenario

On the Average Rate of HARQ-Based Quasi-Static Spectrum Sharing Networks

On the capacity of Rayleigh-fading correlated spectrum sharing networks

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